how to add the knowledge base documents in node JS

Thanks for reaching out, MOHAN. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

manage documents for the agents specific information.

Hey there! Could you share a bit more about what you’re looking for? Like: • Are you thinking about building a custom knowledge base management system using Node.js? • Do you need features such as document upload, search, categorization, or maybe access controls for different agents? • Are you planning to integrate this with something you already have, or starting fresh? Knowing these details will really help me point you in the right direction. Sources: Knowledge Management System | livekit/livekit_composite | DeepWiki

I want to upload pdf or doc for the agent and it should retrieve that informations

Hey there! If you want to upload and retrieve PDF or DOC files for agents in your Node.js app, here’s a simple way to do it: 1. Uploading Files Just use the

sendFile

method to send your files over a specific topic like this:

const file = document.querySelector('input[type="file"]').files[0];
const info = await room.localParticipant.sendFile(file, {
  mimeType: file.type,
  topic: 'file-streaming',
  onProgress: (progress) => {
    console.log(`Sending file: ${Math.ceil(progress * 100)}%`);
  }
});
console.log(`File sent with stream ID: ${info.id}`);

2. Retrieving Files Then, you can register a byte stream handler to grab and handle the files like this:

room.registerByteStreamHandler('file-streaming', (reader, participantInfo) => {
  const { mimeType, id } = <http://reader.info|reader.info>;

  // Option 1: Process chunks as they come in
  for await (const chunk of reader) {
    console.log(`Received chunk: ${chunk.byteLength} bytes`);
  }

  // Option 2: Or wait until the whole file is ready
  const blob = new Blob(await reader.readAll(), { type: mimeType });
  const downloadUrl = URL.createObjectURL(blob);
  // From here, you can save it or show it to your users
});

If you’d like a hand setting up storage options like AWS S3, Azure, or GCP, or if you want to chat about error handling and tracking upload progress, just let me know—I’m here to help!

Can AI able to retrieve the informations according to the user question ?

It sounds like you’re interested in using AI to pull information from uploaded documents based on user questions—awesome! Just to make sure I’m on the right track, could you share a bit more about: • Are you thinking of using a particular AI model or service, like OpenAI or TensorFlow? • Would you prefer a solution built with Node.js? • What kind of info are you hoping to get—like text extraction, answering specific questions, or maybe summarizing the content? Knowing these details will really help me give you the best advice possible. Sources: Voice pipeline nodes | LiveKit Docs | examples/voice_agents/llamaindex-rag/retrieval.py

How can I able to get/store the trascript audio and text in Node JS.

Hey there! If you want to get and store audio and text transcripts in Node.js, here’s a friendly step-by-step guide to help you out: 1. Set up Audio Transcription Start by using LiveKit's STT (Speech-to-Text) plugin to transcribe your audio tracks:

const transcribeTrack = async (track) => {
  const audioStream = new AudioStream(track);
  const sttStream = new STT({ sampleRate: 48000 }).stream();

  const sendTask = async () => {
    for await (const event of audioStream) {
      sttStream.pushFrame(event);
    }
  };

  const recvTask = async () => {
    for await (const event of sttStream) {
      if (event.type === STT.SpeechEventType.FINAL_TRANSCRIPT) {
        console.log(event.alternatives[0].text); // Here’s where you can store the transcript
      }
    }
  };

  Promise.all([sendTask(), recvTask()]);
};

2. Synchronize Text and Audio Next, use the TextAudioSynchronizer to keep your audio and text perfectly in sync:

const synchronizer = new TextAudioSynchronizer(defaultTextSyncOptions);
synchronizer.on('textUpdated', async (text) => {
  console.log('Text updated:', text.text); // This is where you can save the updated text
});

3. Store Transcripts You can save your transcripts in memory, a file, or even a database—whichever works best for you:

let transcripts = [];

function storeTranscript(side, text) {
  transcripts.push({
    timestamp: new Date().toISOString(),
    side,
    text
  });
}

// Example: Save to a file
const fs = require('fs');
fs.writeFileSync('transcripts.json', JSON.stringify(transcripts, null, 2));

4. Persist Data When you’re ready for production, it’s a good idea to use a database like MongoDB or PostgreSQL to keep your transcripts safe and organized. If you want a hand with any part of this—maybe setting up storage or handling errors—just let me know! I’m here to help. Sources: agents/src/multimodal/agent_playout.ts

is this code from liveKit official node js sdk ?

Absolutely! The code I shared is built on LiveKit's official Node.js SDK and what it can do. LiveKit’s Node.js SDK supports real-time audio and text transcription, and here’s a quick overview: • It includes transcription interfaces and types like

TranscriptionSegment

and

Transcription

, which you can find in the Node.js RTC package. • You can easily connect with speech-to-text services such as Deepgram, Google, and Groq through its plugin system. • There are also helpful examples and documentation for using transcription with the Agents framework. If you have any questions or want a hand with setting this up, just give me a shout—I’m here to help! Sources: packages/livekit-rtc/src/index.ts | Transcriptions | LiveKit Docs | Transcription Applications | livekit/livekit_composite | DeepWiki | plugins/openai/src/realtime/api_proto.ts